What this category of data looks like
Ledger data for refinery and chemical production mainly comes from three core data sources: distributed control system (DCS), tank farm metering system, and laboratory information management system (LIMS) in the laboratory. Data is updated per production shift, with one ledger document generated per shift. Each document includes fields such as unit number, material name, operating temperature, pressure, flow rate, test results, ledger number, and shift team information. Temperature is measured in degrees Celsius, pressure in megapascals, flow rate in cubic meters per hour, and timestamps are precise to the second.
What constraints these characteristics impose on tool calling and plugins
Multi-source heterogeneous data sources require tool calling plugins to support simultaneous connection to three interfaces: DCS, tank farm metering system, and lab LIMS. This avoids missing data. The shift-based update rhythm requires plugin call frequency to match production scheduling. This prevents pulling duplicate or expired data. Differences in field units require plugins to include built-in unit conversion rules. This unifies output formats for summarization. The fixed field structure requires precise filter conditions when calling tools. Only return valid data for the current shift to reduce redundant information occupying context.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
toolChoice | auto | Supports automatic scheduling needs for multi-data-source plugins |
functionCall | Calibrated based on actual measurements | Matches the complex parameter structure of refinery and chemical ledger fields |
| Data source plugin configuration | Connect to 3 plugins: DCS, LIMS, tank farm system | Covers core ledger data sources |
| Timeout period | 600 seconds | Matches average time spent pulling data across systems |
| Result filtering rules | Only return current shift production data | Narrows the scope of tool call returns |
| Plugin call frequency | Once every 15 minutes | Matches the update rhythm of refinery and chemical production ledgers |
Three Common Mistakes
- Phenomenon: Tool call results include input and response fields from knowledge base search. Cause: The non-tool-call knowledge base retrieval switch was not turned off in the workflow, causing the system to trigger knowledge base retrieval by default.
- Phenomenon: No response when clicking confirm when creating a plugin from CURL. Cause: The copied CURL content lacks request headers or has incorrect parameter formatting, and the complete plugin configuration import was not completed.
- Phenomenon: Numeric type parameter transfer fails when calling the MCP client. Cause: Numeric fields were not explicitly declared as numeric types, and default string format transfer caused interface parsing errors.
How to Confirm Correct Configuration
- Use the workflow editor of FastGPT v4.17.0 to run a test workflow, and check that the fields returned by the tool call match the configured refinery and chemical ledger fields.
- View workflow logs to confirm that no knowledge base retrieval-related input and response records appear.
- Verify the CURL-imported plugin configuration to confirm that all request parameters have been loaded correctly.
- Test the transfer of numeric type parameters to confirm that no type errors appear in the call results.
The values provided here are common starting points and should be measured against the reader's own samples.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-28.